Both of fog and edge computing provide a more flexible and elastic service environment than cloud computing. In order to strengthen service scalability, container virtualization technology has been proposed and studied in recent years. The trade-off between service scalability and operating expenses is vital to IoT applications. The talk presents an auto-scaling mechanism for IoT applications. The auto-scaling mechanism is proposed on the basis of fuzzy theory. Moreover, an integrated virtualization platform is implemented to realize the proposed auto-scaling mechanism. The framework provides a better service scalability with less average delay and error rate for IoT applications.
Fan-Hsun Tseng received the Ph.D. degree in Computer Science and Information Engineering from the National Central University, Taoyuan, Taiwan, in 2016. He is currently an Assistant Professor with the Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei, Taiwan. Dr. Tseng receives the 2018 MOST Young Scholar Fellowship for his dedication to research of Engineering and Technologies. He has served as Associate Editor-in-Chief of Journal of Computers, Associate Editor of IEEE Access, Human-centric Computing and Information Sciences, and Journal of Internet Technology, and Topic Editor of Sensors. His research interests include multi-access edge computing, 5G mobile networks, artificial intelligence.
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